I find her book to be more practical and humble, though perhaps less feature-complete than the book from this post.
IMO Kashani and Ivry’s writing feels a little uppity and needlessly offputting — for example, logistic regression is lumped under Kindergarten in the table of contents. Sure it’s fundamental, but implying it’s not useful anymore in our age of deep learning (listed under “Bachelor’s,” of course) is a little myopic/insulting, no? Students who feel pandered to by know-it-alls probably learn worse than students whose skills are being collaboratively built up by enthusiastic mentors.
This feeling was particularly loud from the foreward, ToC, and intro; maybe it gets better after…?
iandanforth
It's free but the Amazon reviews are ... not favorable. I'd love to know of books or resources like this that are good collections of real AI/ML/DL interview questions though!
runeblaze
Unfortunately no "write me multi-head self attention by hand" :(, so not good enough for 2024's DL interviews.
I find her book to be more practical and humble, though perhaps less feature-complete than the book from this post.
IMO Kashani and Ivry’s writing feels a little uppity and needlessly offputting — for example, logistic regression is lumped under Kindergarten in the table of contents. Sure it’s fundamental, but implying it’s not useful anymore in our age of deep learning (listed under “Bachelor’s,” of course) is a little myopic/insulting, no? Students who feel pandered to by know-it-alls probably learn worse than students whose skills are being collaboratively built up by enthusiastic mentors.
This feeling was particularly loud from the foreward, ToC, and intro; maybe it gets better after…?